Estimation-Based Consensus Control with Event-Triggered Communication for NCSs against False Data Injection Attacks

Networked control systems (NCSs) are a novel generation of interactive complex systems. Because of the networked information exchange, NCSs are vulnerable to malicious cyber attacks. As a typical cyber attack, the false data injection (FDI) attack can destroy the system by tampering with system data through attack methods. This work focuses on the estimation-based consensus control for NCSs against FDI attacks. Firstly, a secure state estimator with augmented states is designed to obtain the accurate state estimation of NCSs under FDI attacks. Then, an event-triggered communication mechanism is proposed and co-considered with consensus control to overcome the dilemma of limited resources. Next, a Lyapunov function is given for the acquisition of the control gain matrix and stability proof. Finally, a series of numerical examples are provided to show the effectiveness of the proposed method, which demonstrates the higher estimation accuracy, the lower communication rate, and the better consensus performance than traditional methods.